diff options
Diffstat (limited to 'R Scripts/predict-victims-plots.R')
| -rw-r--r-- | R Scripts/predict-victims-plots.R | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/R Scripts/predict-victims-plots.R b/R Scripts/predict-victims-plots.R index 179a60b..0e1b669 100644 --- a/R Scripts/predict-victims-plots.R +++ b/R Scripts/predict-victims-plots.R @@ -24,7 +24,7 @@ counts = matrix(c( sum(correct_rank1<(vcount(lcc)*popsizes[1])), sum(correct_rank3<(vcount(lcc)*popsizes[2])), sum(correct_rank3<(vcount(lcc)*popsizes[3]))), nrow=3, byrow=T) -cols = brewer.pal(3,'Paired'); cols=cols[c(3,1,2)] +cols = brewer.pal(3,'Dark2');# cols=cols[c(3,1,2)] barplot(counts, border=NA, xlab="Size of High-Risk Population", ylab="Victims Predicted", @@ -43,10 +43,10 @@ mtext(side = 4, line = 3, "Number of Victims Predicted") #### Precision-Recall Curve -plot(ecdf(correct_rank1),col=cols[1],lwd=2,main='', +plot(ecdf(correct_rank1),col=cols[1],lwd=3,main='', xlab='Ranking',ylab='CDF',xlim=c(0,140000)) -plot(ecdf(correct_rank2),col=cols[2],lwd=2,add=T) -plot(ecdf(correct_rank3),col=cols[3],lwd=2,add=T) +plot(ecdf(correct_rank2),col=cols[2],lwd=3,add=T) +plot(ecdf(correct_rank3),col=cols[3],lwd=3,add=T) legend("bottomright", inset=0.05, c("Demographics Model", "Contagion Model", "Combined Model"), fill=cols,border=NA,bty='n') |